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Issue analytics | GitLab Docs Issue analytics provide insights into the issues created each month in a group or project A bar chart illustrates the number of issues opened and closed each month A table displays the top 100 issues based on the global page filters, with the following details about each issue: To view issue analytics:
Investigating Issues in detail – Noibu - Knowledge Base When you click on any row in the Issues table, a detailed panel provides you with the essential information needed to assess the issue This panel includes insights into the nature of the problem and its frequency of occurrence
How to build a GitHub issues dashboard in thirty minutes or less GitHub Insights provides totals on issues and pull requests including links to individual issues and PRs You can filter by the last day, three days, a week or a month It’s like a dashboard overview of your GitHub repository While this is useful, it lacks a few key features
How To Get Insights From Data (3 Approaches) - Analytics Explained Instead, you’ll want to provide insights that stakeholders least expect and insights that lead to maximum, actionable impact The following three approaches will help you achieve that I’ll also provide examples, real-life use cases, techniques, and visualization types associated with each approach
About insights for Projects - GitHub Docs You can use insights for Projects to view, create, and customize charts that use the items added to your project as their source data You can apply filters to the default chart and also create your own charts
Turning Data Into Actionable Insights: A Step-By-Step Guide To get actionable insights, follow these steps Define the specific goals and objectives you want to achieve through data analysis Decide what you are trying to figure out, what questions you need to answer, and what issue you are trying to solve Identify external or internal data sources that are relevant to your objectives
Visualize and analyze Jira issues in . . . - Atlassian Community Jira Issue Sheets allow you to pull Jira issues directly into Excel-like Tables in Confluence This eliminates the need for complex setups, fragmented workflows, and outdated data, enabling teams to create high-impact, customizable Jira reports that drive actionable insights—without requiring advanced training or third-party plugins